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title: Building Full-stack AI Agents with CrewAI and CopilotKit
description: CopilotKit’s open-source framework, CoAgents, facilitates the development of full-stack agentic applications with CrewAI. It offers tools to integrate UI...
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og:description: CopilotKit’s open-source framework, CoAgents, facilitates the development of full-stack agentic applications with CrewAI. It offers tools to integrate UI...
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# Building Full-stack AI Agents with CrewAI and CopilotKit

**[Collections](https://daily.dev/sources/collections)** · 2 min read · 43 upvotes · 1 comments

## Summary

CopilotKit’s open-source framework, CoAgents, facilitates the development of full-stack agentic applications with CrewAI. It offers tools to integrate UI components, manage shared states, and incorporate human feedback, enhancing AI agent performance. A tutorial is available to build an AI restaurant finder agent, covering setup, running the agent, UI integration, and real-time responses. Additional resources include a video walkthrough by CopilotKit's Co-Founder and a webinar on March 28th, with ongoing support available through their Twitter and Discord community.

## Content

# Building Full-Stack AI Agents with CrewAI and CoAgents: A Comprehensive Guide

CopilotKit’s open-source framework, CoAgents, is revolutionizing the development of full-stack agentic applications with CrewAI. This framework provides essential tools for integrating UI components, managing shared states, and incorporating human-in-the-loop mechanisms, all of which enhance the performance of AI agents significantly.

## Key Features

With CoAgents and CrewAI, developers can build applications where AI agents not only control various aspects of the app but also communicate their actions while generating custom user interfaces. This allows for deep human/AI collaboration, exemplified by agent-native applications like Replit’s AI Agent, Vercel’s new v0, and ChatGPT’s Canvas.

## Getting Started

A comprehensive tutorial is available for those looking to build a full-stack AI restaurant finder agent, covering everything from setup to deployment. The process includes:

- **Setup and Initial Configuration**: Using tools like Python, the OpenAI API, Serper, and CoAgents to configure your development environment.
- **Building and Running the Agent**: Step-by-step instructions to create and run your AI agent effectively.
- **Adding a Frontend UI**: Integrating custom React components for a dynamic user interface.
- **Handling Human Feedback**: Implementing mechanisms to incorporate human feedback, improving agent accuracy and user experience.
- **Streaming Responses**: Techniques to handle real-time information and responses for a more interactive application.

## Learn More and Participate

To further assist developers, Atai, Co-Founder and CEO of CopilotKit, has provided a detailed video walkthrough. This guide demonstrates the integration of an AI agent into your app in easy-to-follow steps. Additionally, a webinar is scheduled for March 28th, providing a deeper dive into building these applications.

## Community and Resources

For continuous support and more resources, developers are encouraged to follow CopilotKit on Twitter and join their Discord community. Here, you can connect with other developers, share experiences, and get help with any challenges you encounter.

Building full-stack AI agents is now more accessible than ever, thanks to the comprehensive tools and frameworks provided by CoAgents and CrewAI. Start your journey in developing sophisticated AI-driven applications today.

## Community discussion

Top comments from developers on daily.dev.

**@programmerraja** · 0 upvotes

> This is an exciting development!  Looking forward to trying out the tools and building a full-stack AI agent of my own.

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python)

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